High-Sensitivity Bio-Waste-Derived Triboelectric Sensors for Capturing Pathological Motor Features in Hemiplegia Rehabilitation

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Authors: Shengkun Li, Hui Liu, Chunhui Du, Yanxia Che, Chengqun Chu, Xiaoyan Dai
Cited by: 3
References: 43

Abstract

Continuous monitoring of pathological motor features is vital for post-stroke rehabilitation but remains challenged by power reliance and low sensitivity of wearable sensors. Here, we develop a high-sensitivity, self-powered breathable nanogenerator (BN-TENG) utilizing fish-scale-derived biological hydroxyapatite/carbon (Bio-HAp/C) fillers within electrospun polyvinylidene fluoride (PVDF) nanofibers. The Bio-HAp/C enhances electron-trapping capability, while a high-resilience ethylene-vinyl acetate (EVA) spacer optimizes contact-separation dynamics. The BN-TENG achieves a superior sensitivity of 16.28 V·N−1 and remarkable stability over 10,000 cycles. By implementing a multi-node sensing strategy, the sensor successfully captures complex hemiplegic patterns, including compensatory shoulder hiking, distal muscle spasticity, and postural asymmetry. By resolving subtle micro-vibrations missed by traditional electronics, this work provides a sustainable, autonomous interface for characterizing pathological motor features and assessing rehabilitation progress in hemiplegic patients.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Electrospun Nanofibers in Biomedical Applications Solar-Powered Water Purification Methods

Publication details

Journal / source
Micromachines
Publisher
MDPI AG
Volume
17
Issue
4
Pages
395–395
Publication date
25 March 2026
Language
EN